Corvus is the operating system for an AI-native development agency.
Traditional agencies scale by adding humans. Corvus is built to scale client delivery by increasing AI execution capacity inside one harness and moving humans into supervision, review, and exceptions.
One runtime instead of disconnected agent tools.
This review branch turns execution, review, and acceptance into one system.
The shift is from human-headcount-scaled agencies to harness-scaled agencies.
- More clients means more people.
- Coordination overhead compounds faster than output.
- Review, continuity, and PM work stay human bottlenecks.
- More work means more runs, not proportionally more humans.
- Execution, review, and acceptance share one runtime.
- Humans act as conductors, not line-by-line implementers.
The scarce resource is not coding throughput. It is human coordination.
Without a durable work graph, agent output is hard to continue or supervise.
Without durable review and evidence, output is hard to accept with confidence.
Without one system of record, every handoff becomes expensive human glue.
Corvus turns planning, execution, review, deployment, and acceptance into one loop.
Typed project and continuation work, anchored in Linear.
Sandboxed runs in Daytona with one durable control plane.
Internal pre-PR review and GitHub App review on the live head.
Runs can test real flows and preserve proof artifacts, not just logs.
Acceptance decisions based on proof, not commentary.
One surface for runtime, review, and blocked-state visibility.
Five systems share one runtime instead of behaving like separate tools.
Linear defines the work to do.
Convex records and leases the run.
Daytona executes the work in isolation.
GitHub receives the PR and review surface.
Harness reconciles evidence and acceptance on the latest head.
Review is not decoration on a PR. Review is part of the acceptance contract.
- Internal pre-PR review runs inside the delivery loop.
- GitHub App review runs on the live PR head.
- Findings and prepared changes are durable.
- Acceptance only counts when review matches the current head.
This is the branch where Corvus stops treating review as commentary and starts treating it as evidence. That closes the loop between execution, review, and acceptance.
The same loop should extend to verification: agents should be able to test the app, capture proof, and attach the artifact back to the same delivery record.
Corvus can carry a generated project through execution, review, deploy, and acceptance on one head.
Corvus belongs to the same frontier category, but with an agency-first center of gravity.
Harness philosophy: the leverage comes from the system around the model.
End-to-end coding agents that can own more of the delivery loop.
Background coding-agent systems and stronger feedback loops.
Background autonomy plus exception routing as an operating model.
Long-running execution and self-driving codebase direction.
Software as an industrial system and an open reference architecture.
Most systems stop at coding agents. Corvus is aimed at running an AI-native agency.
Built around client delivery economics, not just internal developer productivity.
The same harness is designed to span government contract work and software delivery.
The system is designed to reduce both human and AI sprawl by centralizing the runtime.
The review-and-evidence loop is real. The system is no longer hypothetical.
The next parity steps are about harness maturity, not changing the thesis.
Replace founder fallback with a dedicated machine user for GitHub and Vercel.
Upgrade Linear from work graph to real continuation surface for active work.
Expose blocked states, continuation visibility, and stronger runtime governance.
One harness. More AI execution. Less human coordination.
Corvus is building the runtime for an AI-native development agency. The point is not to ship more bots. The point is to centralize work, execution, review, and evidence so a small team can supervise a much larger amount of software and proposal delivery.
AI-native development agency harness
A shared runtime that manages project work, execution, review, and acceptance across client software and proposal lifecycles.